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data scientist

1inch

<div>
 1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond.
 
 
 So if you&rsquo;re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team.
 
 
 
 Location: We prioritise candidates who are based in Dubai then consider those working remotely in one of our European Hub Locations (UK, Spain or Germany).
 
 
 
 We are seeking a talented Data Scientist with focus on product analytics to join our Data &amp; Analytics team and drive data-driven decision making across our organisation. In this role, you will analyse complex datasets, conduct research, and provide valuable insights to support product strategy and business growth. You must have Data Science experience.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Analyse and interpret large-scale on-chain and off-chain datasets to inform business decisions
 </li>
 <li>
 Design and maintain data collection processes and event storage systems
 </li>
 <li>
 Conduct research to identify patterns, trends, and growth opportunities
 </li>
 <li>
 Create intuitive dashboards and data visualisations for internal teams and external partners
 </li>
 <li>
 Propose and test hypotheses with empirical evidence
 </li>
 <li>
 Monitor and evaluate product metrics and user behaviour patterns
 </li>
 <li>
 Present findings and recommendations to stakeholder
 
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of experience in data/product analytics
 </li>
 <li>
 BS in Computer Science, Engineering, Statistics, or related field
 </li>
 <li>
 Design and maintain data collection processes and event storage systems
 </li>
 <li>
 Conduct research to identify patterns, trends, and growth opportunities
 </li>
 <li>
 Experience creating intuitive dashboards and data visualisations for internal teams and external partners
 </li>
 <li>
 Excellent communication skills with ability to present complex findings to diverse stakeholders
 </li>
 <li>
 Proficiency in creating data visualizations and building analytical dashboards (Mixpanel, Metabase)
 </li>
 <li>
 Intermediate SQL, Python knowledge
 </li>
 <li>
 Familiarity with A/B tests and Casual Inference
 </li>
 <li>
 Understanding of product analytics and user behaviour analysis
 
 
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 
 <ul>
 <li>
 Crypto/Web3 analytical stack (Dune, Nodes, Flipside)
 </li>
 <li>
 Low level blockchain data understanding (traces, events)
 </li>
 <li>
 Experience in uncovering business-driving data insights
 
 
 
 
 </li>
 </ul>
 
 Why work for us?
 
 
 
 
 <ul>
 <li>
 Join a young, creative team in a fast-paced and supportive environment
 </li>
 <li>
 We&rsquo;re open to new ideas &mdash; if you&rsquo;ve got a vision, pitch it and make it happen
 </li>
 <li>
 Enjoy competitive pay that matches your skills and experience
 </li>
 <li>
 Be part of a company that&rsquo;s shaping the future of DeFi
 </li>
 <li>
 Take time when you need it &mdash; we offer unlimited vacation days
 </li>
 <li>
 Get fully compensated for your work gear &mdash; we&rsquo;ll set you up for success
 
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Data Scientist

Naffco

<div><h4 class="jobSectionHeader">Job Summary</h4>
We are seeking an experienced Data Scientist with strong capabilities in data analytics, statistical modeling, and data visualization to support enterprise reporting and strategic decision-making. The role involves working with large, structured datasets, developing advanced analytical models, and creating intuitive dashboards to translate data into actionable business insights. The ideal candidate will have hands-on experience with Qlik Sense for reporting and dashboard development, along with strong SQL skills for data extraction and transformation. Experience with Oracle EBS data is highly desirable. The role requires collaboration with business stakeholders, IT teams, and management to ensure accurate, timely, and meaningful data-driven insights.<h4 class="jobSectionHeader">
Key Responsibilities:</h4><ul><li>
Design, develop, and maintain interactive dashboards and reports using Qlik Sense to enable data-driven decision-making.</li><li>
Build predictive, statistical, and analytical models to support operational, tactical, and strategic business decisions.</li><li>
Write and optimize SQL queries to extract, transform, and analyze large datasets efficiently.</li><li>
Ensure data integrity, consistency, and high performance across analytics solutions.</li><li>
Collaborate with business units to understand reporting needs and translate them into technical solutions.</li><li>
Support ongoing enhancements, troubleshooting, and optimization of data models, dashboards, and reports.</li><li>
Stay updated with emerging tools, techniques, and best practices in data analytics and business intelligence.</li></ul><h4 class="jobSectionHeader">
Qualifications &amp; Experience:</h4><ul><li>
BTech / BSc in Computer Science, MCA, or equivalent technical qualification.</li><li>
2&ndash;5 years of proven experience in data analytics, modeling, and dashboard development.</li><li>
Strong expertise in Qlik Sense and SQL; experience with Oracle EBS is a plus.</li><li>
Excellent analytical, problem-solving, and communication skills, with the ability to present complex data clearly to stakeholders.</li><li>
Ability to work independently as well as collaboratively in a dynamic, fast-paced environment.</li></ul></div>

SilentEight

<div>At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We&rsquo;re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place! 
 
 
As a Data Scientist, you will own the end-to-end development of data solutions &mdash; from understanding business problems to deploying and maintaining models in production. You&rsquo;ll work closely with customers and internal teams to build impactful, scalable solutions using machine learning, NLP, and other advanced techniques.<h4 class="jobSectionHeader">
Responsibilities</h4><ul><li>
Lead the data science lifecycle, from discovery and exploration to delivery and customer hand-off.</li><li>
Translate ambiguous business problems into clear problem statements and deliver working, production-ready solutions.</li><li>
Partner with customers and internal stakeholders to co-design use cases, define success criteria, and ensure models are adopted and successful in production.</li><li>
Build quick, iterative prototypes to test ideas, and work cross-functionally to deploy validated solutions into production environments.</li><li>
Own and improve pipelines for data integration, validation, and monitoring, ensuring long-term stability and performance.</li><li>
Analyze large-scale structured and unstructured datasets to extract insights and power model development.</li><li>
Apply machine learning, NLP, graph analytics, and other advanced techniques to solve challenging problems such as semantic search, or anomaly detection.</li><li>
Create and maintain internal data science tooling to streamline experimentation, testing, and delivery.</li><li>
Support internal teams and customers with issue resolution, ensuring data science solutions continue to deliver value post-deployment.</li><li>
Follow and advocate for best practices in MLOps, DataOps, and clean code to ensure reproducibility, maintainability, and scalability.</li></ul><h4 class="jobSectionHeader">
Requirements</h4><ul><li> 
Based in the United Arab Emirates (remote-first team; flexible working environment).</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>
3-5 years of demonstrated experience with LLM technologies (LangChain, LlamaIndex, OpenAI APIs, etc.) and building NLP applications.</li><li>
Deep proficiency in Python: you write clean, modular, maintainable, and testable code suitable for real-world deployments.</li><li>
Solid SQL skills and hands-on experience with large-scale data (e.g., PySpark, BigQuery).</li><li>
Skilled in graph analysis, machine learning, and unstructured data workflows.</li><li>
Demonstrated ability to apply software engineering best practices (e.g., modular design, clean code, unit testing, CI/CD) in data science and machine learning projects, ensuring production-readiness and maintainability.</li><li>
Ability to drive end-to-end initiatives, from exploration to delivery, where solutions must be state-of-the-art, business-aligned, and regulatory-compliant.</li><li>
Comfortable working in Linux environments and using collaborative tools (e.g., Git, Docker).</li><li>
Strong communication skills&mdash;translate technical complexity into actionable business narratives, driving clarity, alignment, and decision-making across all levels of the organization.</li><li>
Mindset of ownership: you&rsquo;re excited to see projects through, from first prototype to deployed, customer-facing solution.</li></ul><h4 class="jobSectionHeader">
We offer:</h4><ul><li>
Full time employment</li><li>
Employee benefits</li><li>
Work-life balance: flexible working hours, remote work forever</li><li>
Career growth: Promotion and great development opportunities within the organization</li></ul></div>

Dicetek LLC

<div>
 As the Data Scientist within the Data &amp; Artificial Intelligence division, you will work on the strategic Development of machine learning technologies to transform business processes. Your focus will be on advancing the bank's capabilities in machine learning (mandatory SAS EG) along with python, Dataiku and Databricks overseeing the development and implementation of machine learning solutions tailored to enhance operational efficiency and customer engagement.
 
 
 
 Accountabilities
 
 
 
 <ul>
 <li>
 Drive the identification and evaluation of new business opportunities through the application of advanced machine learning techniques.
 </li>
 <li>
 Oversee the data analytics lifecycle, from data preprocessing and modelling to implementation and performance monitoring, ensuring adherence to technical and timeline
 
 
 </li>
 </ul>
 specifications.
 
 
 <ul>
 <li>
 Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, design experiments and test business hypothesis.
 </li>
 <li>
 Champion the integration of machine learning technologies (SAS mandatory as well as python intermediate) and methodologies into existing and future business operations.
 </li>
 <li>
 Facilitate the ongoing monitoring and maintenance of deployed solutions, ensuring they deliver consistent value and adapt to new business needs or data insights.
 </li>
 <li>
 Develop Innovative and effective approaches to solve business problems using analytics and communicate results and methodologies.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 Bachelor&rsquo;s degree in computer science, Engineering, Mathematics, Statistics, or related field; Additional Degree or certifications in the field related to data science/Analytics is preferred.
 
 
 <ul>
 <li>
 Minimum of 5+ years in machine learning, data science, or a related field using SAS EG 8.3 or above, SAS Viya, python.
 </li>
 <li>
 Advanced proficiency in programming languages in SAS Base, EMiner,
 </li>
 <li>
 Advanced Hands-on Programming experience in Python.
 </li>
 <li>
 Hands on Experience of working on Dataiku Platform for production is required
 </li>
 <li>
 Azure Databricks and AWS knowledge is a plus
 </li>
 <li>
 Deep understanding of machine learning, statistical modelling, data mining, and artificial intelligence principles and techniques.
 </li>
 <li>
 Expertise in cloud technologies and architectures for machine learning Development, with hands-on experience in SAS, Azure data bricks as well as Dataiku.
 </li>
 <li>
 Strong analytical skills with the ability to solve complex problems and provide practical solutions that align with business strategies.
 </li>
 <li>
 SAS, Dataiku certifications would be added advantage.
 </li>
 </ul>
</div>

DICETEK LLC

<div>As the Data Scientist within the Data &amp; Artificial Intelligence division, you will work on the strategic Development of machine learning technologies to transform business processes. Your focus will be on advancing the bank's capabilities in machine learning (mandatory SAS EG) along with python, Dataiku and Databricks overseeing the development and implementation of machine learning solutions tailored to enhance operational efficiency and customer engagement. 
 
Accountabilities:<ul><li>Drive the identification and evaluation of new business opportunities through the application of advanced machine learning techniques.
</li><li>Oversee the data analytics lifecycle, from data preprocessing and modelling to implementation and performance monitoring, ensuring adherence to technical and timeline
</li></ul>specifications.
<ul><li>Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, design experiments and test business hypothesis.
</li><li>Champion the integration of machine learning technologies (SAS mandatory as well as python intermediate) and methodologies into existing and future business operations.
</li><li>Facilitate the ongoing monitoring and maintenance of deployed solutions, ensuring they deliver consistent value and adapt to new business needs or data insights.
</li><li>Develop Innovative and effective approaches to solve business problems using analytics and communicate results and methodologies. 
</li></ul> 
Skills:
Bachelor&rsquo;s degree in computer science, Engineering, Mathematics, Statistics, or related field; Additional Degree or certifications in the field related to data science/Analytics is preferred.
<ul><li>Minimum of 5+ years in machine learning, data science, or a related field using SAS EG 8.3 or above, SAS Viya, python.
</li><li>Advanced proficiency in programming languages in SAS Base, EMiner,
</li><li>Advanced Hands-on Programming experience in Python.
</li><li>Hands on Experience of working on Dataiku Platform for production is required
</li><li>Azure Databricks and AWS knowledge is a plus
</li><li>Deep understanding of machine learning, statistical modelling, data mining, and artificial intelligence principles and techniques.
</li><li>Expertise in cloud technologies and architectures for machine learning Development, with hands-on experience in SAS, Azure data bricks as well as Dataiku.
</li><li>Strong analytical skills with the ability to solve complex problems and provide practical solutions that align with business strategies.
</li><li>SAS, Dataiku certifications would be added advantage.</li></ul></div>

Hays

<div>
 
 
 Senior Data Scientist (LLM)
 
 
 
 
 Permanent position
 
 
 
 
 Dubai, United Arab Emirates
 
 
 
 
 
 
 
 **Relocation assistance is available for successful candidates**
 
 
 
 
 
 
 We are currently looking for Senior Data Scientists to joining a forward thinking, AI-driven software house in Dubai. The business prioritizes building intelligent, scalable solutions for a range of industries including fintech, gaming, payments and real estate.
 
 
 
 
 
 
 Experience needed:
 
 
 <ul>
 <li>
 6+ years industry experience (not including academic)
 </li>
 <li>
 Proven experience working on AI projects which have gone live
 </li>
 <li>
 Proficiency in Python programming (production ready code)
 </li>
 <li>
 You've worked on large data sets
 </li>
 <li>
 Extensive experience in Deep Learning (Tensorflow, Pytorch)
 </li>
 <li>
 LLM experience (Fine-tuning, training)
 </li>
 <li>
 You have been involved, hands-on, building machine learning models (end to end exp.)
 </li>
 <li>
 Deployment; Familiarity with tools Docker and Kubernetes
 </li>
 </ul>
 
 *Proven research backgrounds are considered but we are more looking for hands on deployment in industry.
 
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 MSc or PhD in related field or STEM (ML, AI, DS, Com Sci etc.)
 </li>
 </ul>
 
 
 
 
 
 Package:
 
 
 <ul>
 <li>
 Visa for yourself
 </li>
 <li>
 Medical insurance for yourself
 </li>
 <li>
 Flights to Dubai + 2 return tickets every year provided
 </li>
 <li>
 Relocation cash allowance
 </li>
 <li>
 Hotel stay when you first arrive
 </li>
 </ul>
 
 
 
 
 If you are interested in the position and feel you have the correct experience, please apply now and share your CV so we can arrange a confidential discussion.
 
 
 
 
 
 
 **Only relevant candidates will be contacted due to the high volume of applicants**
 
 
</div>

Senior Data Scientist (LLM)

Delivery Hero

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region. 
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily. 
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. 
Job Description 
As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data through building machine learning models at scale. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation.
Responsibilities<ul><li>
Leveraging ambiguous business problems as opportunities to drive objective criteria using data.</li><li>
Solving complex business problems using the simplest most appropriate Algorithms to deliver business value.</li><li>
Designing and implementing effective and impactful machine learning systems in production.</li><li>
Developing a deep understanding of the product experiences and business processes that make up your area of focus.</li><li>
Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.</li><li>
Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.</li><li>
Working closely with product and business teams to identify important questions that can be answered effectively with data.</li><li>
Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.</li><li>
Designing, planning, and analyzing experiments (A/B and multivariate tests).</li><li>
Supporting product and business managers with KPI design and goal setting.</li><li>
Mentoring other data scientists in their growth journeys.</li><li>
Contributing to improving our ways of work, our tooling, and our internal training programs.</li></ul> 
Qualifications 
Technical Experience<ul><li>
Experience in machine learning, deep learning, recommendation/personalization systems, pattern recognition, data mining and artificial intelligence.</li><li>
Deep knowledge and experience in ML algorithms and frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch ...).</li><li>
Excellent SQL.</li><li>
Competence with reproducible data analysis using Python or R.</li><li>
Familiarity with data modeling and dimensional design.</li><li>
Strong command over the entire data lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.</li><li>
Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.</li><li>
Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.</li><li>
Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).</li><li>
Familiarity with BigQuery and the Google Cloud Platform is a plus.</li><li>
Data engineering and data pipeline development experience (e.g. via Airflow)</li></ul>
Qualifications<ul><li>
Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</li><li>
6+ years of experience working in data science, machine learning, and Gen AI.</li><li>
Experience doing data science in an online consumer product setting is a plus.</li><li>
A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.</li><li>
An excellent collaborator.</li><li>
An excellent communicator.</li><li>
A strong sense of ownership and accountability.</li><li>
A &lsquo;keep it simple&rsquo; approach to #makeithappen.</li></ul></div>

Staff Data Scientist, Algorithms, ML

Explore 1660+ Data scientist in Dubai this February. Find roles across top companies and apply now to boost your career.

1660 data scientist jobs In Dubai

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Senior Data Scientist (LLM)

Staff Data Scientist, Algorithms, ML